Data Scientist

About the position

Ascend Analytics’ climate technology software and services provide critical insights to power the energy transition. The company’s products enhance critical power supply decisions from short-term operating strategies to long-term investment and resource planning. Ascend’s solutions serve as the core analytic infrastructure for electric utilities, independent power producers, electric retailers, and financiers of energy infrastructure. To learn more about Ascend, please visit us at www.ascendanalytics.com. This position will be a key member supporting Ascend Analytics’ SmartBidder team, which works on optimization and management of energy storage and renewable assets. You will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong software engineering skills will support mission critical decision analytics for renewable and battery storage power providers around the globe.

Responsibilities

• Prototype and experiment with novel machine learning models and mathematical algorithms for short term energy market forecasting
• Optimize and enhance computational efficiency of algorithms and software design
• Work with our team of analysts to integrate new data sources, evaluate performance, automate, and generalize data science models within production software
• Design and write clean, scalable, production code in Python
• Refactor code for improved performance, stability, and scalability
• Implement systems for collecting, storing, and working with data at scale
• Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders

Requirements

• 2+ Years experience in a highly related role
• BS or MS in Engineering, Computer Science, Data/Information Science, Physics, Applied Mathematics, Operations Research, Statistics, Economics, or Power Systems (or related fields)
• Demonstrated academic or professional software coding experience in Python
• Experience performing independent research
• Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) and machine learning development in Pytorch (or similar)
• Strong interpersonal skills, teamwork skills, and work ethic
• Demonstrated interest in the energy sector (e.g. coursework, professional development activities, podcasts, independent reading, etc.)

Nice-to-haves

• Familiarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker
• Ability to communicate with impact and confidence, both orally and in writing
• Understanding of basic microeconomic principles
• Knowledge of wholesale electricity markets

Benefits

• Flexible work hours
• Relaxed environment
• Opportunities for advancement
• Medical insurance
• Dental insurance
• Vision insurance
• Short- and long-term disability
• Parental leave
• Dependent care spending account
• 401k plan